Ilya Shabanov is not your average scientist. He spent 12 years in industry, co-founded a brain training startup NeuroNation, ran a web design firm and only at 36 decided to do a PhD in biology. Find Illya on X

Ilya’s Review: Consensus AI – An Intelligent Literature Review Companion

In this review, we will break down the main use cases, limitations, and features of consensus in detail. First, we will look at what Consensus is and what it does, then dive deep into every feature and finish with an even more innovative use case: ConsensusGPT, which combines ChatGPT’s conversational capabilities with Consensus’ expansive database.

• What problem does Consensus solve?
• What does Consensus AI do?
• The Consensus meter for a quick overview
• Synthesize and CoPilot boxes to grasp a topic
• Badges/Summaries to sort single studies
• Filtering options in Consensus
• ConsensusGPT: Consensus as a ChatGPT plugin
• What is the difference between ChatGPT and Consensus?
• Academic writing use-case: Asking Consensus for evidence
• Academic writing use-case: Filling in Citations

How to use Consensus AI?

Like all AI tools, Consensus is as simple as typing a question into the textbox. You can start using it for free, and if you need it, get the premium membership, which allows you to use AI to summarize findings and systematically analyze single papers (more than one pricing in the last section of this post and a 30% off discount code!). However, it is crucial to understand this technology’s limitations and know which results you can fully trust and which you need to double-check.

Read the full review here: https://effortlessacademic.com/consensus-ai-review-for-literature-reviews/